SlideShare a Scribd company logo
1 of 83
Analytics in the Cloud
     Deepak Singh, Ph.D.
     Sr. Business Development Manager
Via butteryflysha under a CC-BY license
Image: Simon Cockell under CC-BY
our reality
lots and lots and lots and
lots and lots of data
Astronomy
       Genome Sequencing
Logs
             Clickstreams
Fraud
                  Sensors
Geolocation
harness data
business insights
better decisions
new business/product
    opportunities
People drive innovation

Credit: Pieter Musterd a CC-BY-NC-ND license
Image: Drew Conway
challenges
Successful
Your Idea
             Product
Successful
Your Idea
             Product
Successful
Your Idea
             Product
Data Volume

Data Structures

Data Dimensionality
Resource constraints

Tight Budgets

Undifferentiated Heavy Lifting
enter the cloud
Amazon Web Services
infrastructure services
building blocks
Abstract Resources    On Demand

  Programmable       Pay As You Go

     Secure             Elastic
Predicting Infrastructure Needs
                        Actual Usage



                                         Customer
Compute Power




                                       Dissatisfaction


                                                    Predicted Usage




                Waste



                        Time
3000 -                     3000 CPU’s for one firm’s risk management processes
Number of EC2 Instances




                                                              300 CPU’s on
                                                              weekends



300 -



                          Wednesday   Thursday      Friday     Saturday     Sunday      Monday      Tuesday
                          4/22/2009   4/23/2009   4/24/2009    4/25/2009   4/26/2009   4/27/2009   4/28/2009
requirements for
   analytics
scalable storage
scalable compute
on-demand resources
99.999999999




          Amazon S3
      Elastic Block Store
         Amazon EC2
   Persistent
   Attached
    Storage             Elastic
                       Computing
database
Amazon RDS
what database do you
       want?
Oracle Certification, Support and Licensing
                        All products certified on the
                        Oracle Virtual Machine are now
     Certified &        Certified on Amazon EC2
     supported
                        managed OVM

                        Full Support from Oracle and
                        AWS

                        Standard Licensing Policies
                        Apply

                        AMIs exist today for many
                        Oracle products
Biomarker
            Warehouse
pre-clinical, clinical, 3rd party data and publications




            Estimated cost: 10 TB warehouse over 3
                             years
reporting & business
    intelligence
SAP BusinessObjects




          Recovery.gov Architecture
new paradigms for data
       analysis
unconstrained tools for
 unconstrained growth
Amazon Elastic
 MapReduce
Amazon EC2 Instances
                                                                                          End
Deploy Application
                                    Hadoop         Hadoop    Hadoop
                         Elastic                                              Elastic
                       MapReduce                                            MapReduce
                                    Hadoop         Hadoop    Hadoop                     Notify
Web Console, Command
      line tools                    Input                         output
                                   dataset                        results



                                        Input S3            Output S3                    Get Results
   Input Data
                                         bucket              bucket



                                      Amazon S3
HDFS
mapreduce
Amazon Elastic
MapReduce Goals
handle undifferentiated
     heavy lifting
integrated with other
    cloud services
It is Hadoop
Hive
   Pig
Cascading
Customers are using for …

Targeted advertising / Clickstream analysis
Data warehousing applications
Bioinformatics
Financial modeling
File processing
Web indexing
Data mining and BI
CLICKSTREAM ANALYSIS – RAZORFISH AND BEST
BUY
  Best Buy came to Razorfish
    3.5 billion records, 71 million unique cookies, 1.7 million targeted ads
     required per day

                  User recently
                  purchased a
                  home theater         Targeted Ad
                  system and is
                  searching for      (1.7 Million per day)
                  video games

• Leveraged AWS and Elastic MapReduce
  – 100 node cluster on demand
  – Processing time dropped from 2+ days to 8 hours
  – Increased ROAS by 500%
Clickstream Analysis - Architecture
another example: Etsy
Etsy by the numbers

   October 2010
     $29.9 million in sales
     842 million page views
     434 GB web logs
     97 million total favorite listings
Data collection & EMR integration
Cascading.Jruby
   source 'raw_log_data’

   assembly 'raw_log_data' do
    # Helper method to parse fields from raw web logs: session_id, url parameters, etc.
    parse_log :query_fields => ['affiliate_code’,'sale_confirmation_id’]

    branch 'affiliate_events' do
     where 'affiliate_code:string != null’
     rename 'created_at' =>; 'affiliate_timestamp’
    end

    branch 'sales_events' do
     where 'sale_confirmation_id:string != null’
     rename 'created_at' => 'sale_timestamp’
    end
   end
data warehousing
WEB-SCALE DATA WAREHOUSING
RESIZE RUNNING JOB FLOWS

        Use Case: Increase speed of running job flows
           Speed up job flow execution in response to changing requirements
           Dynamically balance cost versus performance without restarting a job
                                                                                 Job Flow
                                                Job Flow
                Job Flow

  Allocate                       Expand to                       Expand to
4 instances                     9 instances                     25 instances




              Time remaining:
                                              Time remaining:
                14 Hours
                                                 7 Hours
                                                                               Time remaining:
                                                                                  3 Hours
Dynamically Resize Job Flows

              Use Case: Agile Data Warehouse Cluster
               Customize cluster size to support varying resource needs (e.g., query
                support during the day versus batch processing overnight)
               Leverage flexibility to reduce costs and increase cluster utilization

                                                   Data Warehouse
                                                  (Batch Processing)
                 Data Warehouse                                                      Data Warehouse
                  (Steady State)                                                      (Steady State)

  Allocate                          Expand to                           Shrink to
9 instances                        25 instances                        9 instances
Ecosystem And Tools



 Business Intelligence
   MicroStrategy, Pentaho
 Analytics
   Datameer, Karmasphere
 Open source
   Beeswax


 …
some practical
considerations
• Launch and monitor job flows
   • AWS Management Console
   • Command line interface
   • REST API
      • 3rd party libraries, e.g. MrJob
Hardware requirements for Use Cases

 Data/IO Intensive (m1/m2 instances)
   Data Warehouse
   Data Mining
       • Click stream, logs, events, etc.
 Compute/IO Intensive (c1, cc1 instances)
     Credit Ratings
     Fraud Models
     Portfolio analysis
     VaR calculation
additional resources
http://aws.amazon.com/elasticmapreduce
http://aws.amazon.com/articles/Elastic-MapReduce
http://www.youtube.com/user/AmazonWebServices
in summary
Amazon Web Services
Abstract Resources    On Demand

  Programmable       Pay As You Go

     Secure             Elastic
many database options
Elastic MapReduce
powerful, flexible, elastic
  analytics and data
     warehousing
Successful
Your Idea
             Product
Successful
Your Idea
             Product
Image: Jeff Hester under a Creative Commons License
AWS will be at Strata 2011
deesingh@amazon.com
                                                      Twitter:@mndoci




   Inspiration and material from
   Matt Wood, Peter Sirota & Larry Lessig


Credit” Oberazzi under a CC-BY-NC-SA license

More Related Content

What's hot

CONNtext presentation
CONNtext presentationCONNtext presentation
CONNtext presentationArmedia LLC
 
Introduction to Big Data using AWS Services
Introduction to Big Data using AWS ServicesIntroduction to Big Data using AWS Services
Introduction to Big Data using AWS ServicesAnjani Phuyal
 
ML Infra @ Spotify: Lessons Learned - Romain Yon - NYC ML Meetup
ML Infra @ Spotify: Lessons Learned - Romain Yon -  NYC ML MeetupML Infra @ Spotify: Lessons Learned - Romain Yon -  NYC ML Meetup
ML Infra @ Spotify: Lessons Learned - Romain Yon - NYC ML MeetupRomain Yon
 
Elastic community Abidjan #225 meetup 08 May 2021
Elastic community Abidjan #225 meetup 08 May 2021Elastic community Abidjan #225 meetup 08 May 2021
Elastic community Abidjan #225 meetup 08 May 2021Yassine, LASRI
 
Cómo transformar los datos en análisis con los que tomar decisiones
Cómo transformar los datos en análisis con los que tomar decisionesCómo transformar los datos en análisis con los que tomar decisiones
Cómo transformar los datos en análisis con los que tomar decisionesElasticsearch
 
Transforming data into actionable insights
Transforming data into actionable insightsTransforming data into actionable insights
Transforming data into actionable insightsElasticsearch
 
5 Pillars of API Management
5 Pillars of API Management5 Pillars of API Management
5 Pillars of API ManagementRich Graham
 
Event-Based Business Architecture: Orchestrating Enterprise Communications
Event-Based Business Architecture: Orchestrating Enterprise Communications Event-Based Business Architecture: Orchestrating Enterprise Communications
Event-Based Business Architecture: Orchestrating Enterprise Communications confluent
 
Democratization of Data @Indix
Democratization of Data @IndixDemocratization of Data @Indix
Democratization of Data @IndixManoj Mahalingam
 
Comment transformer vos données en informations exploitables
Comment transformer vos données en informations exploitablesComment transformer vos données en informations exploitables
Comment transformer vos données en informations exploitablesElasticsearch
 
Cloud Data Integration Best Practices
Cloud Data Integration Best PracticesCloud Data Integration Best Practices
Cloud Data Integration Best PracticesDarren Cunningham
 
Infrastructure migration to azure cloud
Infrastructure migration to azure cloudInfrastructure migration to azure cloud
Infrastructure migration to azure cloudAlletec
 
Introduction to Time Series Analytics with Microsoft Azure
Introduction to Time Series Analytics with Microsoft AzureIntroduction to Time Series Analytics with Microsoft Azure
Introduction to Time Series Analytics with Microsoft AzureCodit
 
Cloud architecture patterns and pratices
Cloud architecture patterns and praticesCloud architecture patterns and pratices
Cloud architecture patterns and praticesGustavo Alzate Sandoval
 
Data Integration and the Cloud: Doing it Right
Data Integration and the Cloud: Doing it RightData Integration and the Cloud: Doing it Right
Data Integration and the Cloud: Doing it RightEnergySys Limited
 
AWS Webcast - Sales Productivity Solutions with MicroStrategy and Redshift
AWS Webcast - Sales Productivity Solutions with MicroStrategy and RedshiftAWS Webcast - Sales Productivity Solutions with MicroStrategy and Redshift
AWS Webcast - Sales Productivity Solutions with MicroStrategy and RedshiftAmazon Web Services
 
Data Architecture for Machine Learning
Data Architecture for Machine LearningData Architecture for Machine Learning
Data Architecture for Machine LearningDenodo
 
Orchestrate data with agility and responsiveness. Learn how to manage a commo...
Orchestrate data with agility and responsiveness. Learn how to manage a commo...Orchestrate data with agility and responsiveness. Learn how to manage a commo...
Orchestrate data with agility and responsiveness. Learn how to manage a commo...Skender Kollcaku
 
Combining Logs, Metrics, and Traces for Unified Observability
Combining Logs, Metrics, and Traces for Unified ObservabilityCombining Logs, Metrics, and Traces for Unified Observability
Combining Logs, Metrics, and Traces for Unified ObservabilityElasticsearch
 

What's hot (20)

CONNtext presentation
CONNtext presentationCONNtext presentation
CONNtext presentation
 
Introduction to Big Data using AWS Services
Introduction to Big Data using AWS ServicesIntroduction to Big Data using AWS Services
Introduction to Big Data using AWS Services
 
IT-Analytics: Screen your IT processes with BI Technology
IT-Analytics: Screen your IT processes with BI TechnologyIT-Analytics: Screen your IT processes with BI Technology
IT-Analytics: Screen your IT processes with BI Technology
 
ML Infra @ Spotify: Lessons Learned - Romain Yon - NYC ML Meetup
ML Infra @ Spotify: Lessons Learned - Romain Yon -  NYC ML MeetupML Infra @ Spotify: Lessons Learned - Romain Yon -  NYC ML Meetup
ML Infra @ Spotify: Lessons Learned - Romain Yon - NYC ML Meetup
 
Elastic community Abidjan #225 meetup 08 May 2021
Elastic community Abidjan #225 meetup 08 May 2021Elastic community Abidjan #225 meetup 08 May 2021
Elastic community Abidjan #225 meetup 08 May 2021
 
Cómo transformar los datos en análisis con los que tomar decisiones
Cómo transformar los datos en análisis con los que tomar decisionesCómo transformar los datos en análisis con los que tomar decisiones
Cómo transformar los datos en análisis con los que tomar decisiones
 
Transforming data into actionable insights
Transforming data into actionable insightsTransforming data into actionable insights
Transforming data into actionable insights
 
5 Pillars of API Management
5 Pillars of API Management5 Pillars of API Management
5 Pillars of API Management
 
Event-Based Business Architecture: Orchestrating Enterprise Communications
Event-Based Business Architecture: Orchestrating Enterprise Communications Event-Based Business Architecture: Orchestrating Enterprise Communications
Event-Based Business Architecture: Orchestrating Enterprise Communications
 
Democratization of Data @Indix
Democratization of Data @IndixDemocratization of Data @Indix
Democratization of Data @Indix
 
Comment transformer vos données en informations exploitables
Comment transformer vos données en informations exploitablesComment transformer vos données en informations exploitables
Comment transformer vos données en informations exploitables
 
Cloud Data Integration Best Practices
Cloud Data Integration Best PracticesCloud Data Integration Best Practices
Cloud Data Integration Best Practices
 
Infrastructure migration to azure cloud
Infrastructure migration to azure cloudInfrastructure migration to azure cloud
Infrastructure migration to azure cloud
 
Introduction to Time Series Analytics with Microsoft Azure
Introduction to Time Series Analytics with Microsoft AzureIntroduction to Time Series Analytics with Microsoft Azure
Introduction to Time Series Analytics with Microsoft Azure
 
Cloud architecture patterns and pratices
Cloud architecture patterns and praticesCloud architecture patterns and pratices
Cloud architecture patterns and pratices
 
Data Integration and the Cloud: Doing it Right
Data Integration and the Cloud: Doing it RightData Integration and the Cloud: Doing it Right
Data Integration and the Cloud: Doing it Right
 
AWS Webcast - Sales Productivity Solutions with MicroStrategy and Redshift
AWS Webcast - Sales Productivity Solutions with MicroStrategy and RedshiftAWS Webcast - Sales Productivity Solutions with MicroStrategy and Redshift
AWS Webcast - Sales Productivity Solutions with MicroStrategy and Redshift
 
Data Architecture for Machine Learning
Data Architecture for Machine LearningData Architecture for Machine Learning
Data Architecture for Machine Learning
 
Orchestrate data with agility and responsiveness. Learn how to manage a commo...
Orchestrate data with agility and responsiveness. Learn how to manage a commo...Orchestrate data with agility and responsiveness. Learn how to manage a commo...
Orchestrate data with agility and responsiveness. Learn how to manage a commo...
 
Combining Logs, Metrics, and Traces for Unified Observability
Combining Logs, Metrics, and Traces for Unified ObservabilityCombining Logs, Metrics, and Traces for Unified Observability
Combining Logs, Metrics, and Traces for Unified Observability
 

Similar to Analytics in the Cloud

Big Data Day LA 2015 - The AWS Big Data Platform by Michael Limcaco of Amazon
Big Data Day LA 2015 - The AWS Big Data Platform by Michael Limcaco of AmazonBig Data Day LA 2015 - The AWS Big Data Platform by Michael Limcaco of Amazon
Big Data Day LA 2015 - The AWS Big Data Platform by Michael Limcaco of AmazonData Con LA
 
Cloud Architectures - Jinesh Varia - GrepTheWeb
Cloud Architectures - Jinesh Varia - GrepTheWebCloud Architectures - Jinesh Varia - GrepTheWeb
Cloud Architectures - Jinesh Varia - GrepTheWebjineshvaria
 
The AWS Big Data Platform – Overview
The AWS Big Data Platform – OverviewThe AWS Big Data Platform – Overview
The AWS Big Data Platform – OverviewAmazon Web Services
 
13h00 p duff-building-applications-with-aws-final
13h00   p duff-building-applications-with-aws-final13h00   p duff-building-applications-with-aws-final
13h00 p duff-building-applications-with-aws-finalLuiz Gustavo Santos
 
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)Amazon Web Services Korea
 
Building Web Applications on AWS - AWS Summit 2012 - NYC
Building Web Applications on AWS - AWS Summit 2012 - NYCBuilding Web Applications on AWS - AWS Summit 2012 - NYC
Building Web Applications on AWS - AWS Summit 2012 - NYCAmazon Web Services
 
AWS re:Invent 2016 recap (part 1)
AWS re:Invent 2016 recap (part 1)AWS re:Invent 2016 recap (part 1)
AWS re:Invent 2016 recap (part 1)Julien SIMON
 
Risk Management and Particle Accelerators: Innovating with New Compute Platfo...
Risk Management and Particle Accelerators: Innovating with New Compute Platfo...Risk Management and Particle Accelerators: Innovating with New Compute Platfo...
Risk Management and Particle Accelerators: Innovating with New Compute Platfo...Amazon Web Services
 
Tapping the cloud for real time data analytics
 Tapping the cloud for real time data analytics Tapping the cloud for real time data analytics
Tapping the cloud for real time data analyticsAmazon Web Services
 
BDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWSBDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWSAmazon Web Services
 
AWS Boot Camp in Taipei
AWS Boot Camp in TaipeiAWS Boot Camp in Taipei
AWS Boot Camp in TaipeiErnest Chiang
 
AWS re:Invent 2016 Day 1 Keynote re:Cap
AWS re:Invent 2016 Day 1 Keynote re:CapAWS re:Invent 2016 Day 1 Keynote re:Cap
AWS re:Invent 2016 Day 1 Keynote re:CapIan Massingham
 
AWS re:Invent 2016 Day 1 Keynote re:Cap
AWS re:Invent 2016 Day 1 Keynote re:CapAWS re:Invent 2016 Day 1 Keynote re:Cap
AWS re:Invent 2016 Day 1 Keynote re:CapAdrian Hornsby
 
Understanding AWS Managed Databases and Analytic Services - AWS Innovate Otta...
Understanding AWS Managed Databases and Analytic Services - AWS Innovate Otta...Understanding AWS Managed Databases and Analytic Services - AWS Innovate Otta...
Understanding AWS Managed Databases and Analytic Services - AWS Innovate Otta...Amazon Web Services
 
(BDT208) A Technical Introduction to Amazon Elastic MapReduce
(BDT208) A Technical Introduction to Amazon Elastic MapReduce(BDT208) A Technical Introduction to Amazon Elastic MapReduce
(BDT208) A Technical Introduction to Amazon Elastic MapReduceAmazon Web Services
 
The important bits of cloud computing
The important bits of cloud computingThe important bits of cloud computing
The important bits of cloud computingCarsonified Team
 
AWS Summit Stockholm 2014 – B4 – Business intelligence on AWS
AWS Summit Stockholm 2014 – B4 – Business intelligence on AWSAWS Summit Stockholm 2014 – B4 – Business intelligence on AWS
AWS Summit Stockholm 2014 – B4 – Business intelligence on AWSAmazon Web Services
 

Similar to Analytics in the Cloud (20)

Big Data Day LA 2015 - The AWS Big Data Platform by Michael Limcaco of Amazon
Big Data Day LA 2015 - The AWS Big Data Platform by Michael Limcaco of AmazonBig Data Day LA 2015 - The AWS Big Data Platform by Michael Limcaco of Amazon
Big Data Day LA 2015 - The AWS Big Data Platform by Michael Limcaco of Amazon
 
Cloud Architectures - Jinesh Varia - GrepTheWeb
Cloud Architectures - Jinesh Varia - GrepTheWebCloud Architectures - Jinesh Varia - GrepTheWeb
Cloud Architectures - Jinesh Varia - GrepTheWeb
 
Building Applications with AWS
Building Applications with AWSBuilding Applications with AWS
Building Applications with AWS
 
The AWS Big Data Platform – Overview
The AWS Big Data Platform – OverviewThe AWS Big Data Platform – Overview
The AWS Big Data Platform – Overview
 
13h00 p duff-building-applications-with-aws-final
13h00   p duff-building-applications-with-aws-final13h00   p duff-building-applications-with-aws-final
13h00 p duff-building-applications-with-aws-final
 
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
클라우드 기반 데이터 분석 및 인공 지능을 위한 비지니스 혁신 - 윤석찬 (AWS 테크에반젤리스트)
 
Building Web Applications on AWS - AWS Summit 2012 - NYC
Building Web Applications on AWS - AWS Summit 2012 - NYCBuilding Web Applications on AWS - AWS Summit 2012 - NYC
Building Web Applications on AWS - AWS Summit 2012 - NYC
 
AWS Big Data Solution Days
AWS Big Data Solution DaysAWS Big Data Solution Days
AWS Big Data Solution Days
 
AWS re:Invent 2016 recap (part 1)
AWS re:Invent 2016 recap (part 1)AWS re:Invent 2016 recap (part 1)
AWS re:Invent 2016 recap (part 1)
 
Risk Management and Particle Accelerators: Innovating with New Compute Platfo...
Risk Management and Particle Accelerators: Innovating with New Compute Platfo...Risk Management and Particle Accelerators: Innovating with New Compute Platfo...
Risk Management and Particle Accelerators: Innovating with New Compute Platfo...
 
Jeff barr Seattle_interactive_2011_q4
Jeff barr Seattle_interactive_2011_q4Jeff barr Seattle_interactive_2011_q4
Jeff barr Seattle_interactive_2011_q4
 
Tapping the cloud for real time data analytics
 Tapping the cloud for real time data analytics Tapping the cloud for real time data analytics
Tapping the cloud for real time data analytics
 
BDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWSBDA305 Building Data Lakes and Analytics on AWS
BDA305 Building Data Lakes and Analytics on AWS
 
AWS Boot Camp in Taipei
AWS Boot Camp in TaipeiAWS Boot Camp in Taipei
AWS Boot Camp in Taipei
 
AWS re:Invent 2016 Day 1 Keynote re:Cap
AWS re:Invent 2016 Day 1 Keynote re:CapAWS re:Invent 2016 Day 1 Keynote re:Cap
AWS re:Invent 2016 Day 1 Keynote re:Cap
 
AWS re:Invent 2016 Day 1 Keynote re:Cap
AWS re:Invent 2016 Day 1 Keynote re:CapAWS re:Invent 2016 Day 1 Keynote re:Cap
AWS re:Invent 2016 Day 1 Keynote re:Cap
 
Understanding AWS Managed Databases and Analytic Services - AWS Innovate Otta...
Understanding AWS Managed Databases and Analytic Services - AWS Innovate Otta...Understanding AWS Managed Databases and Analytic Services - AWS Innovate Otta...
Understanding AWS Managed Databases and Analytic Services - AWS Innovate Otta...
 
(BDT208) A Technical Introduction to Amazon Elastic MapReduce
(BDT208) A Technical Introduction to Amazon Elastic MapReduce(BDT208) A Technical Introduction to Amazon Elastic MapReduce
(BDT208) A Technical Introduction to Amazon Elastic MapReduce
 
The important bits of cloud computing
The important bits of cloud computingThe important bits of cloud computing
The important bits of cloud computing
 
AWS Summit Stockholm 2014 – B4 – Business intelligence on AWS
AWS Summit Stockholm 2014 – B4 – Business intelligence on AWSAWS Summit Stockholm 2014 – B4 – Business intelligence on AWS
AWS Summit Stockholm 2014 – B4 – Business intelligence on AWS
 

More from Amazon Web Services

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
 
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
 
Esegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateEsegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateAmazon Web Services
 
Costruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSCostruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSAmazon Web Services
 
Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
 
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
 
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
 
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsMicrosoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
 
Database Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareDatabase Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareAmazon Web Services
 
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSCrea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
 
API moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAPI moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAmazon Web Services
 
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareDatabase Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
 
Tools for building your MVP on AWS
Tools for building your MVP on AWSTools for building your MVP on AWS
Tools for building your MVP on AWSAmazon Web Services
 
How to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckHow to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckAmazon Web Services
 
Building a web application without servers
Building a web application without serversBuilding a web application without servers
Building a web application without serversAmazon Web Services
 
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
 
Introduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceIntroduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceAmazon Web Services
 

More from Amazon Web Services (20)

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
 
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
 
Esegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateEsegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS Fargate
 
Costruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSCostruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWS
 
Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot
 
Open banking as a service
Open banking as a serviceOpen banking as a service
Open banking as a service
 
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
 
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
 
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsMicrosoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
 
Computer Vision con AWS
Computer Vision con AWSComputer Vision con AWS
Computer Vision con AWS
 
Database Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareDatabase Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatare
 
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSCrea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
 
API moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAPI moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e web
 
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareDatabase Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
 
Tools for building your MVP on AWS
Tools for building your MVP on AWSTools for building your MVP on AWS
Tools for building your MVP on AWS
 
How to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckHow to Build a Winning Pitch Deck
How to Build a Winning Pitch Deck
 
Building a web application without servers
Building a web application without serversBuilding a web application without servers
Building a web application without servers
 
Fundraising Essentials
Fundraising EssentialsFundraising Essentials
Fundraising Essentials
 
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
 
Introduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceIntroduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container Service
 

Recently uploaded

Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 

Recently uploaded (20)

Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 

Analytics in the Cloud